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CRF-Based Model for Instrument Detection and Pose Estimation in Retinal Microsurgery
2016
Computational and Mathematical Methods in Medicine
Detection of instrument tip in retinal microsurgery videos is extremely challenging due to rapid motion, illumination changes, the cluttered background, and the deformable shape of the instrument. For the same reason, frequent failures in tracking add the overhead of reinitialization of the tracking. In this work, a new method is proposed to localize not only the instrument center point but also its tips and orientation without the need of manual reinitialization. Our approach models the
doi:10.1155/2016/1067509
pmid:27867418
pmcid:PMC5102876
fatcat:a7xtuvi6svfchmkemguo54mniu